GEO DataSets

(Submitter supplied) BACKGROUND: We have previously reported gene expression changes in the bronchial airway epithelium of active chronic smokers. In this study, we investigate the effects of Acute Smoke Exposure (ASE) from cigarettes on airway epithelial gene expression. METHODS: Bronchial airway epithelial cell brushings were collected via fiberoptic bronchoscopy from 63 individuals without recent exposure to cigarette smoke (> 2 days), at baseline and at 24 hours after smoking three cigarettes. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17244

126 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Expression profiling by high throughput sequencing

Platforms:

GPL13447 GPL10999

21 Samples

Download data: BEDGRAPH, CEL, TXT

(Submitter supplied) mRNA expression was profiled from pooled bronchial airway epithelial cell brushings (n=3 patients/pool) obtained during bronchoscopy from healthy never (NS) and current smokers (S) and smokers with (C) and without (NC) lung cancer

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL10999

8 Samples

Download data: BEDGRAPH, GTF, TXT

(Submitter supplied) mRNA expression was assayed from bronchial epithelial cell samples from smokers with and without lung cancer. A subset of the samples (2 of the lung cancer samples and 3 of the no cancer samples) were pooled and underwent whole transcriptome sequencing. The goals were to compare whole transcriptome sequencing gene expression levels to gene expression levels derived from these samples run on the Affymetrix HGU133A 2.0 platform.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13447

13 Samples

Download data: CEL

(Submitter supplied) Smoking is the leading cause of lung cancer death, although only a small percentage of smokers develop the disease. Cigarette smoke exposure is known to cause a field of injury in cells throughout the respiratory tract, and while these airway epithelial cells are morphologically normal, they can undergo genetic alterations in response to cigarette smoke exposure. We used microarrays to analyze the gene expression of epithelial cells in the extrathoracic epithelium, specifically nasal and buccal epithelium, to see if these cells underwent similar genetic alterations in response to tobacco exposure as seen in bronchial epithelial cells as has been previously reported. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS3054 GDS3309

Platforms:

GPL571 GPL96

25 Samples

Download data: CEL, CHP, EXP

Analysis of nasal epithelia from cigarette smokers. Cigarette smoke creates a field of injury in epithelial cells lining the respiratory tract. Results extend the concept of a smoking-induced field of injury beyond intrathoracic (bronchial) epithelia to extrathoracic epithelia that line the nose.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent sets

Platform:

GPL571

Series:

GSE8987

15 Samples

Download data: CEL, CHP, EXP

Analysis of buccal epithelia from cigarette smokers. Cigarette smoke creates a field of injury in epithelial cells lining the respiratory tract. Results extend the concept of a smoking-induced field of injury beyond intrathoracic (bronchial) epithelia to extrathoracic epithelia that line the mouth.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent sets

Platform:

GPL96

Series:

GSE8987

10 Samples

Download data: CEL, CHP, EXP

(Submitter supplied) Background: While electronic cigarette (ECIG) use is rapidly rising, their safety profile remains uncertain. The effects of tobacco cigarette (TCIG) smoke on bronchial airway epithelial gene-expression have provided insights into tobacco-related disease pathogenesis. Understanding the impact of electronic cigarettes (ECIGs) on airway gene-expression could provide insights into their potential long-term health effects. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17556

45 Samples

Download data: CEL

(Submitter supplied) Comparison of gene and protein expression in the large airway epithelium of never and current smokers. Keywords: gene expression array-based (RNA / in situ oligonucleotide)

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

8 Samples

Download data: CEL

(Submitter supplied) We previously derived and validated a bronchial epithelial gene expression biomarker to detect lung cancer in current and former smokers. Given that bronchial and nasal epithelium gene expression is similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in more readily accessible nasal epithelium. Nasal epithelial brushings were prospectively collected from current and former smokers with pulmonary lesions suspicious for lung cancer in the AEGIS-1 (n=375) and AEGIS-2 (n=130) clinical trials and gene expression profiled using microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

505 Samples

Download data: CEL

(Submitter supplied) A number of studies have shown that cigarette smoking produces a field defect, such that genetic mutations induced by smoking occur throughout the lung and its intra and extra-pulmonary airways. Based on this concept, we have begun this study, which has as its goal the definition of the normal airway transcriptome, an analysis of how that transcriptome is affected by cigarette smoke, and to explore the reversibility of altered gene expression when smoking has been discontinued. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS534

Platform:

GPL96

75 Samples

Download data: CEL

Analysis of cigarette smoking-induced changes in bronchial epithelia, and reversibility of effects when smoking is discontinued. May provide insight to molecular events leading to chronic obstructive pulmonary disease (COPD) and lung cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 3 other sets

Platform:

GPL96

Series:

GSE994

75 Samples

Download data: CEL

(Submitter supplied) Cigarette smoking is the main risk factor for the development of squamous cell lung carcinoma (SCC). However, the smoking-related molecular changes in SCC have not been studied. We wanted to identify genes in both histologically normal bronchial epithelium and SCC samples that are differentially expressed between current and ex-smokers. In addition, to analyze the levels of the smoking-related genes identified in normal bronchial epithelium with the levels in SCC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1708

62 Samples

Download data: PDF, TXT

(Submitter supplied) RNA was obtained from histologically normal bronchial epithelium of never, former, and current smokers undergoing fiberoptic bronchoscopy. Statistical analysis of the gene expression data identified gene differentially expressed between current and never smokers and classified these genes as irreversible, slowly reversible, or rapidly reversible based on their behavior in former smokers Keywords: Disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

104 Samples

Download data: CEL

(Submitter supplied) mRNA expression was assayed from bronchial epithelial cells collected via bronchoscopy and nasal epithelial cells collected by brushing the inferior turbinate from healthy current and never smoker volunteers in order to determine the relationship between smoking-related gene expression changes in bronchial and nasal epithelium within the same individual.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

73 Samples

Download data: CEL

(Submitter supplied) We have previously found that tobacco carcinogen exposed Gprc5a-/- develop lung tumors including adenocarcinoma. We sought to understand the molecular pathology of these lung tumors by whole-transcriptome sequence (RNA-Seq) analysis.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18635

11 Samples

Download data: TXT

(Submitter supplied) Smoking perpetuates in cytologically-normal airways a molecular “field of injury” that is pertinent to lung cancer and early detection. The evolution of airway field changes prior to lung cancer onset is poorly understood largely due to the long latency of lung malignancy in smokers. Here we studied airway expression changes prior to lung cancer onset in mice with knockout of the Gprc5a gene and tobacco carcinogen (nicotine-specific nitrosamine ketone; NNK) exposure and that develop the most common type of lung cancer, lung adenocarcinoma (LUAD). more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18635

34 Samples

Download data: TXT

(Submitter supplied) To investigate the biochemical and genetic alterations that occur in response to cigarette smoke exposure among airway epithelial cells from different sites in the lungs, we performed microarray-based analysis using small airway epithelial cells (SAEC) and normal human bronchial epithelial cells (NHBE) following 24 h of cigarette smoke extract (CSE). In microarray-based analysis, the small airway showed higher susceptibility to CS compared to the large airway, such as enhanced expression of inflammatory-related pathways including the TNF signaling pathway. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

8 Samples

Download data: TXT

(Submitter supplied) 24 SAGE libraries comprising of 8 current smokers, 12 former smokers and 4 never smokers. Keywords: SAGE, gene expression, current, former, never, smokers

Organism:

Homo sapiens

Type:

Expression profiling by SAGE

Platform:

GPL4

24 Samples

Download data

(Submitter supplied) We have previously shown that gene-expression alterations in cytologically normal appearing bronchial epithelial cells can be used as a biomarker for lung cancer detection in smokers (Whitney et al., BMC Medical Genomics 2015; Silvestri et al., NEJM 2015). In this study, we have established that there are also alterations in bronchial microRNA-expression of smokers with lung cancer. Importantly, the performance of an existing bronchial mRNA-biomarker has been improved by integrating microRNA with mRNA expression.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL11154

347 Samples

Download data: CSV